Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features. Retrieved May 24, 2026, from https://4ort.xyz/entity/fault-diagnosis-of-bearing-based-on-convolutional-neural-network-using-multi-domain-features
MLA“Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/fault-diagnosis-of-bearing-based-on-convolutional-neural-network-using-multi-domain-features.
BibTeX@misc{4ortxyz_fault-diagnosis-of-bearing-based-on-convolutional-neural-network-using-multi-domain-features_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features}}, year = {2026}, url = {https://4ort.xyz/entity/fault-diagnosis-of-bearing-based-on-convolutional-neural-network-using-multi-domain-features}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Fault Diagnosis of Bearing Based on Convolutional Neural Network Using Multi-Domain Features — https://4ort.xyz/entity/fault-diagnosis-of-bearing-based-on-convolutional-neural-network-using-multi-domain-features (retrieved 2026-05-24)
